Results 131 to 140 of about 3,794 (238)

Machine Learning-Driven Tri-Level Hyper-Heuristic Selection With Adaptive Move Acceptance for Composing Medical Crew Scheduling Problem

IEEE Access
Driven by the growing demand for adaptive and automated search control in combinatorial optimization, hyper-heuristic frameworks have become an important approach for handling heterogeneous problem instances.
Alaa Khudhair Abbas, Esam Taha Yassen
doaj   +1 more source

HyFlex: A Flexible Framework for the Design and Analysis of Hyper-heuristics [PDF]

Despite the success of heuristic search methods in solving real-world computational search problems, it is often still difficult to easily apply them to new problems, or even new instances of similar problems.
Hyde Graham, Kendall Gabriela, Ochoa Sanja, Petrovic José Antonio   +3 more
core  

Tolerable Constructive Graph-Based Hyper-Heuristic Algorithm For Examination Timetabling [PDF]

, 2009
Examination Timetabling Problem (ETTP) is an NP-hard typical optimization problem faced by institutions and universities across the world. This nature leads to heuristic methods cover a large branch of researches in this area.
Mohammad Pour, Shahrzad
core  

A Survey of Solution Methodologies for Exam Timetabling Problems

IEEE Access
Exam timetabling is a prominent topic in academic administration management as it ensures the effective utilization of resources and satisfies the requirements and preferences of stakeholders, which leads to a productive academic environment ...
Emily Sing Kiang Siew, San Nah Sze, Say Leng Goh, Graham Kendall, Nasser R. Sabar, Salwani Abdullah   +5 more
doaj   +1 more source

Hybrid Graph Heuristics within a Hyper-heuristic Approach to Exam Timetabling Problems [PDF]

, 2005
This paper is concerned with the hybridization of two graph coloring heuristics (Saturation Degree and Largest Degree), and their application within a hyperheuristic for exam timetabling problems.
Burke, Edmund, Dror, Moshe, Petrovic, Sanja, Qu, Rong   +3 more
core  

A Novel Hyper-Heuristic Algorithm for Bayesian Network Structure Learning Based on Feature Selection

Axioms
Bayesian networks (BNs) are effective and universal tools for addressing uncertain knowledge. BN learning includes structure learning and parameter learning, and structure learning is its core.
Yinglong Dang, Xiaoguang Gao, Zidong Wang   +2 more
doaj   +1 more source

A HYBRID METHOD FOR SOLVING TIMETABLING PROBLEMS BASED ON THE EVOLUTIONARY APPROACH

TASK Quarterly, 2007
Timetabling problems are often difficult and time-consuming to solve. Most of the methods of solving these problems are limited to one problem instance or class.
MACIEJ NORBERCIAK
doaj  

Hyper-heuristics for grouping problems

, 2020
Hyper-heuristics emerge as domain independent methodologies to solve hard computational search problems by performing search over the heuristics rather than directly solutions. One of the main goals of hyper-heuristic research is to support and investigate into the development of more general approaches applicable across different problem domains ...
openaire   +1 more source

Large neighborhood search and hyper-heuristics for the capacitated p-median problem. [PDF]

J Heuristics
Gjergji I, Kletzander L, Musliu N.
europepmc   +1 more source

Grammar-based genetic programming for timetabling [PDF]

, 2009
Bader, Mohamed, Poli, R.
core   +1 more source